Memory Efficient Hardware Accelerator for CNN Inference
Convolutional neural networks (CNNs) have gained popularity in recent years due to their ability to solve complex problems in areas such as image recognition, natural language processing, and speech recognition. However, the computational cost and memory requirements of CNNs are significant challenges for their widespread deployment, particularly in edge devices where power and area budgets are li
